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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

AdaFisher: Adaptive Second Order Optimization via Fisher Information ICLR 2025 AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025 AdaGrad under Anisotropic Smoothness ICLR 2025 Adam Exploits ℓ_∞-geometry of Loss Landscape via Coordinate-wise Adaptivity ICLR 2025 Adam-mini: Use Fewer Learning Rates To Gain More ICLR 2025 ADAM Optimization with Adaptive Batch Selection ICLR 2025 AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training EMNLP 2025 Adapting LLMs for Minimal-edit Grammatical Error Correction ACL 2025 Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning ICML 2025 Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs AAAI 2025 AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes ICCV 2025 Adaptive backtracking line search ICLR 2025 Adaptive Batch Size for Privately Finding Second-Order Stationary Points ICLR 2025 Adaptive Caching for Faster Video Generation with Diffusion Transformers ICCV 2025 Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks AAAI 2025 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025 Adaptive Convergence Rates for Log-Concave Maximum Likelihood AISTATS 2025 Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws ICLR 2025 Adaptive Dataset Quantization AAAI 2025 Adaptive Deep Learning from Crowds IJCAI 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025 Adaptive Draft-Verification for Efficient Large Language Model Decoding AAAI 2025 Adaptive Dual Guidance Knowledge Distillation AAAI 2025 Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design AAAI 2025 Adaptive Exploration for Multi-Reward Multi-Policy Evaluation ICML 2025